Region-adaptive normalization (RAN) methods have been widely used in the generative adversarial network (GAN)-based image-to-image translation technique. However, since these approaches need a mask image to infer pixel-wise affine transformation parameters, they cannot be applied general generation models having no paired images. To resolve this problem, paper presents novel method, called self...

We investigate methods for exploiting nondeterminism inherent within the Tile Assembly Model in order to generate uniform random numbers. Namely, given an integer range {0, . . . , n− 1}, we exhibit methods for randomly selecting a number within that range. We present three constructions exhibiting a trade-off between space requirements and closeness to uniformity. The first selector selects a ...

Many high performance distributed applications use only a small fraction of their available bandwidth. A common cause of this problem is not a flaw in the application design, but rather improperly tuned network settings. Proper tuning techniques, such as setting the correct TCP buffers and using parallel streams, are well known in the networking community , but outside the networking community ...

Semiconductor lasers with optical feedback can produce plentiful non-linear dynamics, including periodic and chaotic oscillations, which are usually applied to microwave signals physical random number generation, respectively. Chaotic semiconductor especially successful in generating numbers compared pseudorandom generated by a computing process. We report self-chaotic microlaser based on the i...

The triple Higgs self-coupling at future e + e − colliders: a signal-to-background study for the standard model Abstract The experimental reconstruction of the Higgs self-energy potential is essential to a verification of the Higgs boson's rôle in spontaneous electroweak symmetry breaking. The first step towards this goal, the measurement of the triple Higgs self-coupling, can possibly be accom...